In recent years, with the rapid growth of airport passenger flow, airport services such as security inspection, emergency response, check-in, baggage tracking are facing tremendous pressure. Being able to make relatively accurate predictions of short-...
Due to the greater randomness of short-term passenger flow forecasting, the current passenger flow forecasting method for short-term urban rail transit has a large error for predicting traffic with complex changes. Aiming at the shortcomings of ...
The support vector regression (SVR) model is a novel forecasting approach and has been successfully used to solve time series problems. However, the applications of SVR models in a seasonal time series forecasting has not been widely investigated. This ...
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